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Impacts of glycemic variability on the relationship between glucose management indicator from iPro™2 and laboratory hemoglobin A1c in adult patients with type 1 diabetes mellitus.

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机构： [1]Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China [2]Department of Endocrinology and Metabolism, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China [3]Zhongshan Hospital of Sun Yat-sen University, Zhongshan City People’s Hospital, Zhongshan, China [4]Department of Endocrine, Foshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, Foshan, China [5]Department of Endocrinology and Metabolism, Shanghai JiaoTong University Affiliated Sixth People’s Hospital, Shanghai, China

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关键词： glucose management indicator glycated hemoglobin A1c glycemic variability diabetes mellitus type 1

摘要：

Our aim was to investigate the impact of glycemic variability (GV) on the relationship between glucose management indicator (GMI) and laboratory glycated hemoglobin A1c (HbA1c). Adult patients with type 1 diabetes mellitus (T1D) were enrolled from five hospitals in China. All subjects wore the iPro™2 system for 14 days before HbA1c was measured at baseline, 3 months and 6 months. Data derived from iPro™2 sensor was used to calculate GMI and GV parameters [standard deviation (SD), glucose coefficient of variation (CV), and mean amplitude of glycemic excursions (MAGE)]. Differences between GMI and laboratory HbA1c were assessed by the absolute value of the hemoglobin glycation index (HGI). A total of 91 sensor data and corresponding laboratory HbA1c, as well as demographic and clinical characteristics were analyzed. GMI and HbA1c were 7.20 ± 0.67% and 7.52 ± 0.73%, respectively. The percentage of subjects with absolute HGI 0 to lower than 0.1% was 21%. GMI was significantly associated with laboratory HbA1c after basic adjustment (standardized β = 0.83, p < 0.001). Further adjustment for SD or MAGE reduced the standardized β for laboratory HbA1c from 0.83 to 0.71 and 0.73, respectively (both p < 0.001). In contrast, the β remained relatively constant when further adjusting for CV. Spearman correlation analysis showed that GMI and laboratory HbA1c were correlated for each quartile of SD and MAGE (all p < 0.05), with the corresponding correlation coefficients decreased across ascending quartiles. This study validated the GMI formula using the iPro™2 sensor in adult patients with T1D. GV influenced the relationship between GMI and laboratory HbA1c. © The Author(s), 2020.

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出版当年[2019]版：

大类 | 2 区医学

小类 | 3 区内分泌学与代谢

最新[2025]版：

大类 | 3 区医学

小类 | 3 区内分泌学与代谢

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出版当年[2018]版：

Q2 ENDOCRINOLOGY & METABOLISM

最新[2023]版：

Q2 ENDOCRINOLOGY & METABOLISM

影响因子： 3.9 最新[2023版] 4.1 最新五年平均 3.543 出版当年[2018版] 0 出版当年五年平均 3.978 出版前一年[2017版] 2.173 出版后一年[2019版]

第一作者：

第一作者机构： [1]Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China

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通讯作者：

通讯机构： [1]Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China [2]Department of Endocrinology and Metabolism, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China [*1]Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, the Third Affiliated Hospital of Sun Yat-sen University, 600 Tianhe Road, Guangzhou, China [*2]Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China [*3]Department of Endocrinology and Metabolism, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, 96 Jinzhai Road, Hefei, China

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Impacts of glycemic variability on the relationship between glucose management indicator from iPro™2 and laboratory hemoglobin A1c in adult patients with type 1 diabetes mellitus.

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